re.clustsize.cont: Relative efficiency of a cluster randomized trial with...

In powertools: Power and Sample Size Tools

Relative efficiency of a cluster randomized trial with continuous outcome with varying cluster sizes

Description

For a continuous outcome, computes the relative efficiency (ratio of the variances) of a cluster randomized trial with varying cluster sizes to that of a cluster randomized trial with constant cluster sizes, assuming equal total number of subjects.

Usage

re.clustsize.cont(m, m.sd, icc)

Arguments

m	The number of subjects per cluster or the mean cluster size (if unequal number of participants per cluster).
m.sd	The standard deviation of cluster sizes (in case of unequal number of participants per cluster).
icc	The intraclass correlation coefficient. For a multisite trial this is icc1. For a CRT this is the average of the 2 icc's.

Value

The computed RE.

Examples

re.clustsize.cont(m = 25, m.sd = 15, icc = 0.05)

powertools documentation built on April 4, 2025, 5:02 a.m.